fix: fix incorrect metadata

ai4-metadata.yml

@@ -2,15 +2,15 @@ metadata_version: 2.0.0
 title:  AI4life model loader
 summary: "Support for inference of the AI4LIFE model on the marketplace."
 description: |-
-  The [BioImage Model Zoo](https://bioimage.io/#/) is a community-driven platform that 
+  The [BioImage Model Zoo](https://bioimage.io/#/) is a community-driven platform that
   provides standardized deep learning models for bioimage analysis.
-  
+
   This module integrates models from the **BioImage.IO** package into the **AI4EOSC** Marketplace
   dashboard, specifically those using PyTorch weights and following the v0.5 format.
-  The module allows users to seamlessly explore, deploy, and utilize these models within 
+  The module allows users to seamlessly explore, deploy, and utilize these models within
   the AI4EOSC ecosystem, providing a user-friendly interface for advanced bioimage analysis.
-  
-  **Key Features** 
+
+  **Key Features**
   - Model Discovery: Automatically fetch and list models available in BioImage.IO that meet the criteria (PyTorch weights, v0.5 format).
 
   - Metadata Visualization: Display essential information about each model,
@@ -19,13 +19,13 @@ description: |-
   - Seamless Deployment: Enable one-click deployment of models to AI4EOSC compute resources.
 
   - Model Preview: Provide an interactive preview to test models on sample data directly in the dashboard.
-  
+
   **References**:
   - BioImage.Io github repository: https://github.com/bioimage-io/core-bioimage-io-python
-  - Documentation: https://bioimage-io.github.io/core-bioimage-io-python/bioimageio/core 
+  - Documentation: https://bioimage-io.github.io/core-bioimage-io-python/bioimageio/core
 dates:
-  created: 2024-11-11
-  updated: 2024-11-11
+  created: '2024-11-11'
+  updated: '2024-11-11'
 links:
   ai4_template: ai4-template-adv/2.0.1
   source_code: https://github.com/ai4os/ai4os-ai4life-loader
@@ -37,49 +37,20 @@ links:
   # base_model: http://add-some-link-to-another-model.com
 tags:        # required property, add user-defined tags that you consider relevant
    - deep learning
-tasks:       # required property, uncomment together with relevant items
-   - Computer Vision
-  # - Natural Language Processing
-  # - Time Series
-  # - Recommender Systems
-  # - Anomaly Detection
-  # - Regression
-   - Classification
    - segmentation
    - 2D input
    - 3D input
    - UNet
-   - Segment anything
-   - Cellpose
-  # - Dimensionality Reduction
-  # - Generative Models
-  # - Graph Neural Networks
-  # - Optimization
-  # - Reinforcement Learning
-  # - Transfer Learning
-  # - Uncertainty Estimation
-  # - Other
+   - Segment Anything
+   - cellpose
+tasks:       # required property, uncomment together with relevant items
+   - Computer Vision
+   - Classification
 categories:  # required property, uncomment together with relevant items
-  # - AI4 trainable
-  # - AI4 pre trained
    - AI4 inference
    - AI4 tools
 libraries:   # required property, uncomment together with relevant items
-  # - TensorFlow
    - PyTorch
-  # - Keras
    - Scikit-learn
-   - bioimageio.core
-  # - LightGBM
-  # - CatBoost
-  # - Other
 data-type:   # optional, uncomment together with relevant items
    - Image
-   - npy images
-  # - Time Series
-  # - Tabular
-  # - Graph
-  # - Audio
-  # - Video
-  # - Other
-